This equation captures one of the core mathematical components of the system. of a flexibility provision time window t ∈H ⊆T . The
Page and bbox are available; crop image is pending.
Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility explores A safe deep reinforcement learning framework for building heating control that optimizes energy efficiency and provides demand-side flexibility while ensuring occupant comfort and grid stability.. Commercial viability score: 4/10 in Building Control.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility | Route /paper/safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibilityMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.16033"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility",
"normalized_query": "2604.16033",
"route": "/paper/safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility",
"paper_ref": "safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility
Subject: Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 4.0
No public claim map is available for this paper yet.
Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. of a flexibility provision time window t ∈H ⊆T . The
Page and bbox are available; crop image is pending.
Owned Distribution
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
References are not available from the internal index yet.
Receipt path
/buildability/safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility
Paper ref
safe-deep-reinforcement-learning-for-building-heating-control-and-demand-side-flexibility
arXiv id
2604.16033
Generated at
2026-04-20T20:24:36.645Z
Evidence freshness
fresh
Last verification
2026-04-20T20:24:36.645Z
Sources
3
References
0
Coverage
50%
Lineage hash
e441f15e816831a3fae2bc5aa064f0fa09084cad1155616150cd13be49090e2e
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. valve opening as the DRL’s action (u = [ut]) and it is a
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. St = [Isolar,t, Tamb,t, Troom,t, Tneigh,t, Xtime,t
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.